{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,9]],"date-time":"2026-07-09T15:22:09Z","timestamp":1783610529868,"version":"3.55.0"},"reference-count":48,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62036004"],"award-info":[{"award-number":["62036004"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE\/ACM Trans. Audio Speech Lang. Process."],"published-print":{"date-parts":[[2023]]},"DOI":"10.1109\/taslp.2022.3226332","type":"journal-article","created":{"date-parts":[[2022,12,15]],"date-time":"2022-12-15T19:59:32Z","timestamp":1671134372000},"page":"500-512","source":"Crossref","is-referenced-by-count":5,"title":["Refining History for Future-Aware Neural Machine Translation"],"prefix":"10.1109","volume":"31","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1971-6618","authenticated-orcid":false,"given":"Xinglin","family":"Lyu","sequence":"first","affiliation":[{"name":"School of Computer Science and Technology, Soochow University, Suzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7829-6348","authenticated-orcid":false,"given":"Junhui","family":"Li","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Soochow University, Suzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Min","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Soochow University, Suzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chenchen","family":"Ding","sequence":"additional","affiliation":[{"name":"Advanced Speech Translation Research and Development Promotion Center, National Institute of Information and Communications Technology, Kyoto, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hideki","family":"Tanaka","sequence":"additional","affiliation":[{"name":"Advanced Speech Translation Research and Development Promotion Center, National Institute of Information and Communications Technology, Kyoto, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1111-9245","authenticated-orcid":false,"given":"Masao","family":"Utiyama","sequence":"additional","affiliation":[{"name":"Advanced Speech Translation Research and Development Promotion Center, National Institute of Information and Communications Technology, Kyoto, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P17-4012"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P16-1162"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/727"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.acl-long.444"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.753"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W19-4315"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W16-2209"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.3115\/1557769.1557821"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P17-1061"},{"key":"ref34","article-title":"Auto-encoding variational bayes","author":"kingma","year":"2013","journal-title":"Comput Res Repository"},{"key":"ref10","first-page":"1243","article-title":"Convolutional sequence to sequence learning","author":"gehring","year":"0","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D18-1049"},{"key":"ref11","article-title":"Neural machine translation by jointly learning to align and translate","author":"bahdanau","year":"0","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D15-1166"},{"key":"ref13","first-page":"383","article-title":"Neural machine translation with recurrent attention modeling","author":"dyer","year":"0","journal-title":"Proc Conf Eur Chapter Assoc Comput Linguistics"},{"key":"ref14","first-page":"5998","article-title":"Attention is all you need","author":"vaswani","year":"0","journal-title":"Proc Neural Inf Process Syst"},{"key":"ref15","article-title":"Sequence level training with recurrent neural networks","author":"ranzato","year":"0","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1426"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1162\/tacl_a_00011"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1086"},{"key":"ref19","first-page":"1171","article-title":"Scheduled sampling for sequence prediction with recurrent neural networks","author":"bengio","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1162\/tacl_a_00105"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D16-1050"},{"key":"ref3","first-page":"1724","author":"cho","year":"0","journal-title":"Proc Conf Empirical Methods Natural Lang Process"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/K16-1002"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P15-1003"},{"key":"ref5","article-title":"Neural GPUs learn algorithms","author":"kaiser","year":"2015","journal-title":"Comput Res Repository"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11985"},{"key":"ref8","first-page":"2781","article-title":"Can active memory replace attention","author":"kaiser","year":"0","journal-title":"Proc Neural Inf Process Syst"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P15-2088"},{"key":"ref2","first-page":"1700","article-title":"Recurrent continuous translation models","author":"kalchbrenner","year":"0","journal-title":"Proc Conf Empirical Methods Natural Lang Process"},{"key":"ref1","first-page":"3104","article-title":"Sequence to sequence learning with neural networks","author":"sutskever","year":"0","journal-title":"Proc 27th Int Conf Neural Inf Process Syst"},{"key":"ref9","article-title":"Neural machine translation in linear time","author":"kalchbrenner","year":"2016","journal-title":"Comput Res Repository"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N18-1125"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2019.2946480"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D17-1013"},{"key":"ref48","first-page":"388","article-title":"Statistical significance tests for machine translation evaluation","author":"koehn","year":"0","journal-title":"Proc Conf Empirical Methods Natural Lang Process"},{"key":"ref22","article-title":"Contrastive learning with adversarial perturbations for conditional text generation","author":"lee","year":"0","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.3115\/1073083.1073135"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v29i1.9590"},{"key":"ref42","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"0","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref24","article-title":"Learning to decode for future success","author":"li","year":"2017","journal-title":"Comput Res Repository"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.emnlp-main.262"},{"key":"ref23","article-title":"An actor-critic algorithm for sequence prediction","author":"bahdanau","year":"0","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref44","article-title":"Twin networks: Matching the future for sequence generation","author":"serdyuk","year":"0","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2020.3042006"},{"key":"ref43","article-title":"Data-dependent gaussian prior objective for language generation","author":"li","year":"0","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11984"}],"container-title":["IEEE\/ACM Transactions on Audio, Speech, and Language Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6570655\/9970249\/09989330.pdf?arnumber=9989330","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,16]],"date-time":"2023-01-16T19:21:52Z","timestamp":1673896912000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9989330\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":48,"URL":"https:\/\/doi.org\/10.1109\/taslp.2022.3226332","relation":{},"ISSN":["2329-9290","2329-9304"],"issn-type":[{"value":"2329-9290","type":"print"},{"value":"2329-9304","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]}}}